| --- |
| license: mit |
| base_model: facebook/w2v-bert-2.0 |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: w2v-bert-version-final |
| results: [] |
| pipeline_tag: automatic-speech-recognition |
| language: |
| - mn |
| metrics: |
| - wer |
| --- |
| |
|
|
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - train_batch_size: 8 |
| - eval_batch_size: 8 |
| - seed: 42 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 2000 |
| - num_epochs: 8 |
| - mixed_precision_training: Native AMP |
| |
| ### Framework versions |
| |
| - Transformers 4.40.0 |
| - Pytorch 2.2.0 |
| - Datasets 2.19.0 |
| - Tokenizers 0.19.1 |
